Become an expert in Computational Fluid Mechanics in only 12 months”

Simulation has become one of the pillars of science and Computational Fluid Dynamics (CFD) is a computational technique that seeks to simulate the motion of fluids. This tool offers multiple advantages over other types of Fluid Mechanics studies, such as time savings, cost reduction in experiments, the possibility of analyzing conditions that are very complicated to simulate experimentally and a practically unlimited level of detail.

In order to know this technique in depth, it is necessary to acquire highly technical and specialized skills and knowledge in algorithms, methods and the models that make up a simulator. This is the reason why TECH has designed a professional master’s degree in Computational Fluid Mechanics, to enable the student to work in this sector as a CFD developer or as an advanced user, through a global and specialized vision of the entire development environment.

Thus, throughout the syllabus, topics such as the origin of turbulence, GPU environments, iterative methods, finite volume methods or advanced methods for CFD, among many other highly relevant aspects, are addressed in depth. All this, in a comfortable 100% online modality that seeks to give students total freedom to organize their studies and schedules.

This program is comprised of multimedia content designed by the best experts in the field and updated information based on the most rigorous sources, in addition to the most innovative teaching technologies. All materials are available to the student from the first day, being able to access them with any device with internet connection, whether Tablet, mobile or computer.

Enhance your professional profile with new knowledge in CFD and stand out in a booming sector”

This professional master’s degree in Computational Fluid Mechanics contains the most complete and up-to-date program on the market. The most important features include:

• The development of case studies presented by experts in the Professional Master's Degree program in Computational Fluid Mechanics
• The graphic, schematic and eminently practical contents of the system provide advanced and practical information on those disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

Deepen your knowledge and acquire new skills in compressible fluids and multiphase flow”

The program’s teaching staff includes professionals from sector who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.

Its multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide an immersive education programmed to learn in real situations.

The design of this program focuses on Problem-Based Learning, by means of which the professional must try to solve the different professional practice situations that are presented throughout the academic course. For this purpose, the student will be assisted by an innovative interactive video system created by renowned experts.

Learn all about advanced CFD models, thanks to the most complete theoretical and practical material"

Enroll now and get access to all the content on fluid turbulence modeling"

The objective of this professional master’s degree in Computational Fluid Mechanics is to provide the student with specialized theoretical and practical knowledge on the development of Computational Fluid Mechanics simulators, including the complete ecosystem. In this way, the student will be able to face a professional future in this area, with total guarantee of success.

Give your career the boost it needs and specialize in one of the most promising areas of engineering”

General Objectives

• Establish the basis for the study of turbulence
• Develop CFD statistical concepts
• Determine the main computational techniques from turbulence research
• Generate specialized knowledge in the method of Finite Volumes
• Acquire specialized knowledge in fluid mechanics calculation techniques
• Examine the wall units and the different regions of a turbulent wall flow
• Determine the characteristics of compressible flows
• Examine multiple models and multiphase methods
• Develop expertise on multiple models and methods in multiphysics and thermal analysis
• Interpret the results obtained by correct post-processing

Specific Objectives

Module 1. Fluid Mechanics and High-Performance Computing

• Identify the equations of turbulent flows
• Examine the closure problem
• Establish the dimensionless numbers needed for modeling
• Analyze the main CFD techniques
• Examine the main experimental techniques
• Developing the different types of supercomputers
• Show the future: GPU

Module 2. Advanced mathematics for CFD

• Develop the mathematical concepts of turbulence
• Generate specialized knowledge on the application of statistics to turbulent flows
• Fundamental method of solving CFD equations
• Demonstrate methods of solving algebraic problems
• Analyze the multigrid method
• Examining the use of eigenvalues and eigenvectors in CFD problems
• Determine methods for solving non-linear problems

Module 3. CFD in Research and Modeling Environments

• Analyzing the future of artificial intelligence in turbulence
• Apply classical discretization methods to Fluid Mechanics problems
• Determine the different turbulent structures and their importance
• Show the method of characteristics
• To present the effect of the evolution of supercomputing on CFD problems
• Examine the main open problems in turbulence

Module 4. CFD in Application Environments: Finite Volumes Methods

• Analyze the FEM or MVF environment
• Specify what, where and how the boundary conditions can be defined
• Determine possible time steps
• Concretizing and designing Upwind schemes
• Develop high order schemes
• Examine convergence loops and in which cases to use each one
• Expose the imperfections of CFD results

Module 5. Advanced Methods for CFD

• Develop the Finite Element Method and the Smoothed Particle Hydrodynamics Method
• Analyze the advantages of Lagrangian versus Eulerian methods, in particular, SPH vs. FVM
• Analyze the Monte Direct Simulation method and the Lattice-Boltzmann Method
• Evaluate and interpret spatial aerodynamics and microfluid dynamics simulations
• Establish the advantages and disadvantages of LBM versus the traditional FVM method

Module 6. Modeling of turbulence in Fluid

• Applying the concept of orders of magnitude
• Present the problem of closure of the Navier-Stokes equations
• Examine energy budget equations
• Develop the concept of turbulent viscosity
• Substantiate the different types of RANS and LES
• Present the regions of a turbulent flow
• Model the energy equation

Module 7. Compressible Fluids

• Develop the main differences between compressible and incompressible flow
• Examine typical examples of the occurrence of compressible fluids
• Identify the peculiarities in the solution of hyperbolic differential equations
• Establish the basic methodology for solving the Riemann problem
• Compile different resolution strategies
• Analyze the pros and cons of the different methods
• Present the applicability of these methodologies to the Euler / Navier-Stokes equations showing classical examples

Module 8. Multiphase flow

• Distinguish what type of multiphase flow is to be simulated: continuous phases, such as simulating a ship at sea, a continuous medium; discrete phases, such as simulating specific droplet trajectories and use statistical populations when the number of particles, droplets or bubbles is too large to be simulated
• Establish the difference between Lagrangian, Eulerian and mixed methods
• Determine the tools best suited to the type of flow to be simulated
• Modeling the effects of surface tension and phase changes such as evaporation, condensation or capitation
• Develop boundary conditions for wave simulation, learn about the different wave models and apply the so-called numerical beach, a region of the domain located at the exit whose objective is to avoid wave reflection

Module 9. Advanced CFD Models

• Distinguish what type of physical interactions are to be simulated: fluid-structure, such as a wing subject to aerodynamic forces, fluid coupled with rigid body dynamics, such as simulating the motion of a buoy floating in the sea, or thermofluid, such as simulating the distribution of temperatures in a solid subject to air currents
• Distinguish the most common data exchange schemes between different simulation software and when one or the other can or is best to be applied
• Examine the various heat transfer models and how they can affect a fluid
• Model convection, radiation and diffusion phenomena from a fluid point of view, model sound creation by a fluid, model simulations with advection-diffusion terms to simulate continuous or particulate media and model reactive flows

Module 10. Post-processing, validation and application in CFD

• Determine the types of post-processing according to the results to be analyzed: purely numerical, visual or a mixture of both
• Analyzing the convergence of a CFD simulation
• Establish the need for CFD validation and know basic examples of CFD validation
• Examine the different tools available on the market
• To provide a foundation for the current context of CFD simulation

You will achieve your most demanding objectives thanks to the most innovative tools in the field of CFD simulation”